Quantitative Methods; Descriptive Tools and Approaches
Quantitative Methods; Descriptive Tools and Approaches, available at $19.99, has an average rating of 4.7, with 29 lectures, based on 5 reviews, and has 29 subscribers.
You will learn about How to present quantitative data using i) diagrams; and ii) descriptive statistics Measures of Location & Measures of Spread How to calculate Mean, Median & Mode, and Variance & Standard Deviation How to calculate Mean, Median & Mode, and Variance & Standard Deviation using Excel This course is ideal for individuals who are Bachelor's Degree in Business or Business Courses or Business Majors or Foundation level CIMA or Level 1 CFA It is particularly useful for Bachelor's Degree in Business or Business Courses or Business Majors or Foundation level CIMA or Level 1 CFA.
Enroll now: Quantitative Methods; Descriptive Tools and Approaches
Summary
Title: Quantitative Methods; Descriptive Tools and Approaches
Price: $19.99
Average Rating: 4.7
Number of Lectures: 29
Number of Published Lectures: 29
Number of Curriculum Items: 29
Number of Published Curriculum Objects: 29
Original Price: $19.99
Quality Status: approved
Status: Live
What You Will Learn
- How to present quantitative data using i) diagrams; and ii) descriptive statistics
- Measures of Location & Measures of Spread
- How to calculate Mean, Median & Mode, and Variance & Standard Deviation
- How to calculate Mean, Median & Mode, and Variance & Standard Deviation using Excel
Who Should Attend
- Bachelor's Degree in Business or Business Courses
- Business Majors
- Foundation level CIMA
- Level 1 CFA
Target Audiences
- Bachelor's Degree in Business or Business Courses
- Business Majors
- Foundation level CIMA
- Level 1 CFA
This course is about the descriptive tools and approaches used in quantitative methods in business. The course is aimed at anyone of the following groups.
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Bachelor’s taking course on ‘Quantitative Methods’ or ‘Quantitative Methods in Business’ (200 to 300 level courses);
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Professional examinations offering similar courses in Quantitative Methods, including CIMA BA1 and CFA Level 1;
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Business managers; and
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Anyone interested in learning Quantitative Methods
The descriptive tools and approaches covered in this course are absolutely essential for anyone pursuing further studies in quantitative methods and students will gain a good understanding of these concepts and their application in a business context. These descriptive tools and approaches taught in this course are also of value to business managers as these are often used in day-to-day business decision making.
Furthermore, the descriptive tools and approaches are explained using Excel/Spreadsheets, and therefore this course is of much practical value to students and business managers alike.
The courses cover the following topics:
Section 1 – Introduction to quantitative methods
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What is quantitative data?
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Quantitative methods and business decision making
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Presentation of quantitative data
Section 2 – Descriptive tool and approaches
– Diagrams
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Frequency distribution and grouped data
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Bar charts and pie charts
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Historgram and ogive
(Section 1 & 2 relevant for CIMA BA1 – C. Informational Context of Business (Learning Outcome 1)
Section 3 – Measure of location
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Mean for ungrouped and grouped data
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Median for ungrouped and grouped data
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Mode for ungrouped and grouped data
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Comparison of mean, median and mode
Section 4 – Measure of spread
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Range
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Inter-quartile range for ungrouped and grouped data
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Mean absolute deviation for ungrouped and grouped data
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Variance and standard deviation for ungrouped and grouped data
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Skewness
(Section 3 & 4 relevant for CFA Level 1 Quantitative Methods – Descriptive Statistics)
The lecture videos include a comprehensive explanation of the concepts and calculation of the descriptive tools and approaches using Excel for business examples. In addition, students taking this course will receive downloadable power point presentations of the topics covered.
Course Curriculum
Chapter 1: Quantitative Applications in Business (Introduction)
Lecture 1: What is Quantitative data?
Lecture 2: Presentation of Quantitative data
Chapter 2: Descriptive Quantitative Tools and Approaches; diagrams
Lecture 1: Types of data
Lecture 2: Frequency distributions
Lecture 3: Preparing a frequency distribution using Excel (Part I)
Lecture 4: Preparing a frequency distribution using Excel (Part II)
Lecture 5: Pie charts
Lecture 6: Bar charts
Lecture 7: Histograms
Lecture 8: Ogive
Chapter 3: Descriptive Quantitative Tools and Approaches; measures of location
Lecture 1: Introduction
Lecture 2: Mean
Lecture 3: Median
Lecture 4: Median (Contd.)
Lecture 5: Mode
Lecture 6: Comparison of measures of location; mean
Lecture 7: Comparison of measures of location; median
Lecture 8: Comparison of measure of location; mode
Chapter 4: Descriptive Quantitative Tools and Approaches; measures of spread
Lecture 1: Range
Lecture 2: Inter-quartile range (ungrouped data)
Lecture 3: Inter-quartile range (grouped data)
Lecture 4: Summery (range & inter-quartile range)
Lecture 5: Mean Absolute Deviation (MAD)
Lecture 6: MAD (ungrouped data)
Lecture 7: MAD (grouped data)
Lecture 8: Variance and Standard Deviation
Lecture 9: Variance and Standard Deviation (ungrouped data)
Lecture 10: Variance and Standard Deviation (grouped data)
Lecture 11: Skewness
Instructors
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SG Higher Education
Higher Education Tuition Provider
Rating Distribution
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- 3 stars: 0 votes
- 4 stars: 2 votes
- 5 stars: 3 votes
Frequently Asked Questions
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